Task 1 : Explore the dataset and identify the number of rows and columns.

The dataset has 9551 Rows and 21 Columns.

There are 9 missing value in Cuisines Column.The number are very less compare to data. So either I can replace or remove. Here I remove 9 rows from the dataset.

Now data is clean. There are no missing values in Dataset.

From the above graph we can observe that most of the oservations has zero aggregate rating and we can tell from the remaining the dataset exhibit a Right-Skewed.

From the output we can see that the test statistic is 0.789 and the corresponding p-value is 0.0. Since the p-value is less than .05, we reject the null hypothesis of the Kolmogorov-Smirnov test. This means we have sufficient evidence to say that the sample data does not come from a normal distribution.


Task 2: Descriptive Analysis


Task 3 : Geospatial Analysis